{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VKIVKV2LZZOQYL42XQV3PTMCTX","short_pith_number":"pith:VKIVKV2L","canonical_record":{"source":{"id":"2508.20212","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-27T18:39:54Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"efad801b22a2ded1b568e2185a6f8381c8d2bba1dca006ec5a401394e973bf7b","abstract_canon_sha256":"8d06b12ca9dbb328d522136cf7de224cbacc00cedec9bcc32ad8e95b178068eb"},"schema_version":"1.0"},"canonical_sha256":"aa9155574bce5d0c2f9abc2bb7cd829dc0b16cefa2542b7cb459fbcffd2741b9","source":{"kind":"arxiv","id":"2508.20212","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20212","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20212v2","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20212","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_12","alias_value":"VKIVKV2LZZOQ","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_16","alias_value":"VKIVKV2LZZOQYL42","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_8","alias_value":"VKIVKV2L","created_at":"2026-07-05T12:06:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VKIVKV2LZZOQYL42XQV3PTMCTX","target":"record","payload":{"canonical_record":{"source":{"id":"2508.20212","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-27T18:39:54Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"efad801b22a2ded1b568e2185a6f8381c8d2bba1dca006ec5a401394e973bf7b","abstract_canon_sha256":"8d06b12ca9dbb328d522136cf7de224cbacc00cedec9bcc32ad8e95b178068eb"},"schema_version":"1.0"},"canonical_sha256":"aa9155574bce5d0c2f9abc2bb7cd829dc0b16cefa2542b7cb459fbcffd2741b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:18.980923Z","signature_b64":"JMCRTErmS5wtEK8NVpFchhiwAFb15ljDdnSiiCLaT4vyBNH2vCN97jKc3sr6WmGEhTiDxgBMkHTaK3jL2YSqAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa9155574bce5d0c2f9abc2bb7cd829dc0b16cefa2542b7cb459fbcffd2741b9","last_reissued_at":"2026-07-05T12:06:18.980391Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:18.980391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.20212","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:06:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mx14KzhoklO+SCYRthZ++NbDtuanRHebMrF7Nbi+mMRMs4H7E0dfiWHOfESA3VmDoy2AhHpXlaxqQnsawvf0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T09:43:18.044436Z"},"content_sha256":"c037b3678768c17ebe72c55ce3a588a7b2a8fc548b0dfeb478679dc2d6982dc1","schema_version":"1.0","event_id":"sha256:c037b3678768c17ebe72c55ce3a588a7b2a8fc548b0dfeb478679dc2d6982dc1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VKIVKV2LZZOQYL42XQV3PTMCTX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.CR","authors_text":"Junzhe Wang, Lannan Luo, Minghao Hu, Qiang Zeng, Weisen Zhao","submitted_at":"2025-08-27T18:39:54Z","abstract_excerpt":"Applying deep learning to malware detection has drawn great attention due to its notable performance. With the increasing prevalence of cyberattacks targeting IoT devices, there is a parallel rise in the development of malware across various Instruction Set Architectures (ISAs). It is thus important to extend malware detection capacity to multiple ISAs. However, training a deep learning-based malware detection model usually requires a large number of labeled malware samples. The process of collecting and labeling sufficient malware samples to build datasets for each ISA is labor-intensive and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20212","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2508.20212/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:06:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x0xypse2ljBXUkcmbvXt+wy6GUKFQchwxUKn3OgZnHC1CKjfBL+6xhw07Q4Tsoe/vXOCXGLyimHVvM65zr6JBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T09:43:18.045621Z"},"content_sha256":"9d81f7ae29cb6bcc78ee7758c8651d2f0f772c15f52dc34ddd78176c6a3cb5b4","schema_version":"1.0","event_id":"sha256:9d81f7ae29cb6bcc78ee7758c8651d2f0f772c15f52dc34ddd78176c6a3cb5b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VKIVKV2LZZOQYL42XQV3PTMCTX/bundle.json","state_url":"https://pith.science/pith/VKIVKV2LZZOQYL42XQV3PTMCTX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VKIVKV2LZZOQYL42XQV3PTMCTX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-15T09:43:18Z","links":{"resolver":"https://pith.science/pith/VKIVKV2LZZOQYL42XQV3PTMCTX","bundle":"https://pith.science/pith/VKIVKV2LZZOQYL42XQV3PTMCTX/bundle.json","state":"https://pith.science/pith/VKIVKV2LZZOQYL42XQV3PTMCTX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VKIVKV2LZZOQYL42XQV3PTMCTX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VKIVKV2LZZOQYL42XQV3PTMCTX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8d06b12ca9dbb328d522136cf7de224cbacc00cedec9bcc32ad8e95b178068eb","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-27T18:39:54Z","title_canon_sha256":"efad801b22a2ded1b568e2185a6f8381c8d2bba1dca006ec5a401394e973bf7b"},"schema_version":"1.0","source":{"id":"2508.20212","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20212","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20212v2","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20212","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_12","alias_value":"VKIVKV2LZZOQ","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_16","alias_value":"VKIVKV2LZZOQYL42","created_at":"2026-07-05T12:06:18Z"},{"alias_kind":"pith_short_8","alias_value":"VKIVKV2L","created_at":"2026-07-05T12:06:18Z"}],"graph_snapshots":[{"event_id":"sha256:9d81f7ae29cb6bcc78ee7758c8651d2f0f772c15f52dc34ddd78176c6a3cb5b4","target":"graph","created_at":"2026-07-05T12:06:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2508.20212/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Applying deep learning to malware detection has drawn great attention due to its notable performance. With the increasing prevalence of cyberattacks targeting IoT devices, there is a parallel rise in the development of malware across various Instruction Set Architectures (ISAs). It is thus important to extend malware detection capacity to multiple ISAs. However, training a deep learning-based malware detection model usually requires a large number of labeled malware samples. The process of collecting and labeling sufficient malware samples to build datasets for each ISA is labor-intensive and ","authors_text":"Junzhe Wang, Lannan Luo, Minghao Hu, Qiang Zeng, Weisen Zhao","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-27T18:39:54Z","title":"FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20212","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c037b3678768c17ebe72c55ce3a588a7b2a8fc548b0dfeb478679dc2d6982dc1","target":"record","created_at":"2026-07-05T12:06:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8d06b12ca9dbb328d522136cf7de224cbacc00cedec9bcc32ad8e95b178068eb","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2025-08-27T18:39:54Z","title_canon_sha256":"efad801b22a2ded1b568e2185a6f8381c8d2bba1dca006ec5a401394e973bf7b"},"schema_version":"1.0","source":{"id":"2508.20212","kind":"arxiv","version":2}},"canonical_sha256":"aa9155574bce5d0c2f9abc2bb7cd829dc0b16cefa2542b7cb459fbcffd2741b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa9155574bce5d0c2f9abc2bb7cd829dc0b16cefa2542b7cb459fbcffd2741b9","first_computed_at":"2026-07-05T12:06:18.980391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:18.980391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JMCRTErmS5wtEK8NVpFchhiwAFb15ljDdnSiiCLaT4vyBNH2vCN97jKc3sr6WmGEhTiDxgBMkHTaK3jL2YSqAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:18.980923Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.20212","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c037b3678768c17ebe72c55ce3a588a7b2a8fc548b0dfeb478679dc2d6982dc1","sha256:9d81f7ae29cb6bcc78ee7758c8651d2f0f772c15f52dc34ddd78176c6a3cb5b4"],"state_sha256":"a73df6bb2db1d6da302e26d9dd8823688cd9b32700526237a7faec703620e0d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D9JRr9klncZUdcvjcDY1UAr7JmodX/wQslx84DyXBnIxwyAeY71nfPGkUEEQKZ7cOPeooyvNhJe98xyukL6GCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T09:43:18.054551Z","bundle_sha256":"c898bea94726c083bf40d5d6991f4a67f5071249ea64aad66fa07797e55c74f1"}}